enochkan/kalmanpy
Implementation of Kalman Filter in Python
This tool helps you estimate the true value of something that's difficult to measure directly and fluctuates, like the actual temperature of a chemical reaction or the precise location of a drone. You input noisy, imperfect sensor readings, and it outputs a more accurate, filtered estimate of the true value over time. It's for engineers, scientists, or anyone working with real-world sensor data that needs to be refined.
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Use this if you have a series of measurements from a sensor that you know are noisy or inaccurate, and you need a better estimate of the actual underlying value.
Not ideal if your data isn't time-series based or if you need to predict future values far beyond your current measurements without additional data.
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Python
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Last pushed
Mar 18, 2021
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